57 Result(s)
within
English
Computer Science
Artificial Intelligence
Computation by Abstract Devices
Zhigang **
Conference Paper
-
Chapter and Conference Paper
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...
-
Chapter and Conference Paper
Stability Analysis of Discrete-Time Cellular Neural Networks
Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison met...
-
Chapter and Conference Paper
Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm
During the pattern recognition using BP neural network, the generalization performance often becomes poor. To improve the generalization performance of BP Network, a novel BP network generalization learning al...
-
Chapter and Conference Paper
Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays
For the convenience of computer simulation, the discrete-time systems in practice are often considered. In this paper, Discrete-time cellular neural networks (DTCNNs) are formulated and studied in a regime whe...
-
Chapter and Conference Paper
Blind Extraction of Singularly Mixed Source Signals
In this paper, a neural network model and its associate learning rule are developed for sequential blind extraction in the case that the number of observable mixed signals is less than the one of sources. This...
-
Chapter and Conference Paper
Gait Recognition Using Independent Component Analysis
This paper presents a new method for automatic gait recognition using independent component analysis (ICA). Firstly, a simple background subtraction algorithm is introduced to segment the moving figures accura...
-
Chapter and Conference Paper
Application of Neural Network to Interactive Physical Programming
A neural network based interactive physical programming approach is proposed in this paper. The approximate model of Pareto surface at a given Pareto design is developed based on neural networks, and a map fro...
-
Chapter and Conference Paper
Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates
In this paper, discrete-time cellular neural networks with one-dimensional space invariant are designed to associative memories. The obtained results enable both heteroassociative and autoassociative memories ...
-
Chapter and Conference Paper
Fault Data Compression of Power System with Wavelet Neural Network Based on Wavelet Entropy
Through the analysis of function approximation with wavelet transformation, an adaptive wavelet neural network is introduced in the paper, which is applied in data compression of fault data in power system. In...
-
Chapter and Conference Paper
Robust Control for a Class of Uncertain Neural Networks with Time-Delays on States and Inputs
A class of uncertain neural networks with time-delays on states and inputs is studied. The theoretical analysis herein guarantees that the neural networks are robust stable. In addition, a state feedback contr...
-
Chapter and Conference Paper
Applying Bayesian Approach to Decision Tree
Applying Bayesian approach to decision tree (DT) model, and then a Bayesian-inference-based decision tree (BDT) model is proposed. For BDT we assign prior to the model parameters. Together with observed sample...
-
Chapter and Conference Paper
Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks
In this paper, global exponential stability in Lagrange sense is further studied for continuous recurrent neural network with three different activation functions. According to the parameters of the system its...
-
Chapter and Conference Paper
On Several Scheduling Problems with Rejection or Discretely Compressible Processing Times
In the traditional scheduling problems, it is always assumed that any job has to be processed and the processing time is pre-given and fixed. In this paper, we address the scheduling problems with rejection or...
-
Chapter and Conference Paper
Design and Path Planning for a Remote-Brained Service Robot
This article introduced an effective design method of robot called remote-brain, which is made the brain and body separated. It leaves the brain in the mother environment, by which we mean the environment in w...
-
Chapter and Conference Paper
Analysis of Global Convergence and Learning Parameters of the Back-Propagation Algorithm for Quadratic Functions
This paper analyzes global convergence and learning parameters of the back-propagation algorithm for quadratic functions. Some global convergence conditions of the steepest descent algorithm are obtained by di...
-
Chapter and Conference Paper
Implementation of Multi-valued Logic Based on Bi-threshold Neural Networks
The implementation of multi-valued logic with a three layers forward neural network is proposed. The hidden layer is constituted by bi-threshold neurons compared with traditional simple threshold neurons. Acco...
-
Chapter and Conference Paper
A Seed-Based Method for Predicting Common Secondary Structures in Unaligned RNA Sequences
The prediction of RNA secondary structure can be facilitated by incorporating with comparative analysis of homologous sequences. However, most of existing comparative approaches are vulnerable to alignment err...
-
Chapter and Conference Paper
Constructing Structural Alignment of RNA Sequences by Detecting and Assessing Conserved Stems
The comparative methods for predicting RNA secondary structure can be facilitated by taking structural alignments of homologous sequences as input. However, it is very difficult to construct a well structural ...
-
Chapter and Conference Paper
Quantum Error-Correction Codes Based on Multilevel Constructions of Hadamard Matrices
To achieve quantum error-correction codes with good parameters, the recursive constructions of Hadamard matrices with even length are proposed with special characters. The generators of the stabilizer of the d...
-
Chapter and Conference Paper
Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting
In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series are introduced. In addition, multi neural network for load forecast includ...
